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Aerodynamics Expert - Remote

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: YO AI Labs
Part Time, Remote/Work from Home position
Listed on 2026-10-21
Job specializations:
  • Engineering
Salary/Wage Range or Industry Benchmark: 60 - 120 USD Hourly USD 60.00 120.00 HOUR
Job Description & How to Apply Below
Location: New York

Aerodynamics Expert – AI Training

Location: Global, Fully Remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible

Job Summary

We are seeking experienced Aerodynamics Experts to support AI training projects involving computational fluid dynamics (CFD), aerodynamic analysis, engineering simulations, and Python-based workflows.

Key Responsibilities
  • Solve and validate aerodynamic and fluid dynamics problems.
  • Develop computational models, geometries, meshes, and boundary conditions.
  • Run CFD simulations and calculate aerodynamic properties such as lift and drag.
  • Use Python to automate simulations, parameter studies, and data analysis.
  • Diagnose convergence issues and validate numerical and physical results.
  • Document technical reasoning, modeling assumptions, and engineering trade-offs.
Required Qualifications
  • MS or PhD in Aerospace Engineering or a related field, or a bachelor's degree with at least 1–2 years of relevant aerodynamics experience.
  • Strong knowledge of fluid mechanics, aerodynamics, and CFD.
  • Practical proficiency in Python.
  • Experience with at least one programmatic or command-line engineering tool.
  • Ability to select appropriate mesh strategies, boundary conditions, and solver settings.
  • Strong analytical, troubleshooting, and technical communication skills.
Relevant Tools

Python, OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, Num Py, Sci Py, pandas, and similar engineering tools.

Selection Process
  • Submit an application and complete screening questions.
  • Complete an approximately 30-minute AI interview.
  • Complete the hiring manager review.
  • Availability

    Candidates should be ready to begin promptly, with the first task expected within 24–48 hours after onboarding.

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